A Nonparametric Test Procedure for Two Distributions Equality using the Right Censored Data

• 발행기관: 한국자료분석학회
• 저자명: Seung-Man Hong Hyo-Il Park
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.12 No.6, 2963~2972쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2010.12.30

영문 초록

In this study we consider to propose a nonparametric test procedure for two distributions equality based on the several quantile test statistics with combining them into a statistic using estimated covariance matrix for the right censored data in the two-sample problem. For this, since we do not assume any specific model between two populations or distributions, our proposed test procedure can be applied to some broad situations. Then we derive the limiting distribution for the quadratic form using the large sample approximation theory by assuming that the estimated covariance matrix is positive definite. Finally we illustrate our procedure with an example and discuss some interesting features of our test as concluding remarks.

목차

1. Introduction

2. A new nonparametric test

3. An example and some concluding remarks

References

키워드

Median test Nonparametric test Quadratic form Quantile test Right censored data Two-sample problem